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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Journal of medical Internet research, 2016-12, Vol.18 (12), p.e323

2016

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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Journal of medical Internet research, 2016-12, Vol.18 (12), p.e323-e323

2016

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Fairness improvement for black-box classifiers with Gaussian process

Information sciences, 2021-10, Vol.576, p.542-556

2021

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Expected Hypervolume Improvement with Constraints

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.3238-3243

2018

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Detecting Selective Forwarding Attacks in Wireless Sensor Networks using Support Vector Machines

2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, 2007, p.335-340

2007

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Protein Topology Classification Using Two-Stage Support Vector Machines

Genome Informatics, 2006, Vol.17(2), pp.259-269

2006

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Prediction of cystine connectivity using SVM

Bioinformation, 2005-12, Vol.1 (2), p.69-74

2005

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Bayesian Optimisation for Objective Functions with Varying Smoothness

AI 2019: Advances in Artificial Intelligence, p.460-472

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Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020, Vol.34 (4), p.5256-5263

2020

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Machine Learning in Bioinformatics

1. Aufl., 2009

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TRF: Learning Kernels with Tuned Random Features

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2022, Vol.36 (8), p.8286-8294

2022

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A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, p.284-387

2009

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DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment

2015 International Conference on Recent Advances in Internet of Things (RIoT), 2015, p.1-6

2015

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Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks

2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2013, p.491-496

2013

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Incremental training of support vector machines

IEEE transactions on neural networks, 2005-01, Vol.16 (1), p.114-131

2005

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The conic-segmentation support vector machine - a target space method for multiclass classification

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012, p.1-8

2012

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Distributed training of multiclass conic-segmentation support vector machines on communication constrained networks

2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2010, p.211-216

2010

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A Division Algebraic Framework for Multidimensional Support Vector Regression

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2010-04, Vol.40 (2), p.517-528

2010

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Regression models for estimating gait parameters using inertial sensors

2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2011, p.46-51

2011

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Automatic detection of different walking conditions using inertial sensor data

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012, p.1-6

2012

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A Note on Octonionic Support Vector Regression

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2012-06, Vol.42 (3), p.950-955

2012

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Autonomous detection of different walking tasks using end point foot trajectory vertical displacement data

2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2013, p.509-514

2013

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Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation

2007 International Joint Conference on Neural Networks, 2007, p.920-925

2007

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A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data

Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), 2009, Vol.2009, p.384

2009

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Kernel Methods in Protein Structure Prediction

Machine Learning in Bioinformatics, 2008, p.209-228

2008

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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Fairness improvement for black-box classifiers with Gaussian process

Expected Hypervolume Improvement with Constraints

Detecting Selective Forwarding Attacks in Wireless Sensor Networks using Support Vector Machines

Protein Topology Classification Using Two-Stage Support Vector Machines

Prediction of cystine connectivity using SVM

Bayesian Optimisation for Objective Functions with Varying Smoothness

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

Machine Learning in Bioinformatics

TRF: Learning Kernels with Tuned Random Features

A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data

DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment

Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks

Incremental training of support vector machines

The conic-segmentation support vector machine - a target space method for multiclass classification

Distributed training of multiclass conic-segmentation support vector machines on communication constrained networks

A Division Algebraic Framework for Multidimensional Support Vector Regression

Regression models for estimating gait parameters using inertial sensors

Automatic detection of different walking conditions using inertial sensor data

A Note on Octonionic Support Vector Regression

Autonomous detection of different walking tasks using end point foot trajectory vertical displacement data

Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation

A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data

Kernel Methods in Protein Structure Prediction

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